Eran Rubens

[email protected]

Self-driving doctors? Auto industry offers model for AI use

Analogies can be drawn between the development of autonomous driving technology and artificial intelligence (AI) in medicine. In this column, Eran Rubens, chief technology officer for enterprise imaging at Philips Healthcare, believes that an auto industry model for classifying automation could be adapted to the practice of medicine.

July 24, 2017

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2026 01 30 Jalzdisease Ai Spect Models Detect Alzheimers Michopoulou Thumbnail

AI detects Alzheimer’s on brain perfusion SPECT scans

The model aims to enhance the consistency and confidence of SPECT interpretation supporting current workflows.

Subgroup analysis based on lesion size on PCCT images. The red outlined areas highlight the magnified images of lesions. (A-C) PCCT images in a 62-year-old woman with a body mass index (BMI) of 23.6, calculated as weight in kilograms divided by height in meters squared, who was diagnosed with adenocarcinoma. A lesion with a long diameter of 25 mm was identified in the right lower lobe on axial images acquired during the venous phase. For lesions less than or equal to 30 mm, decreasing section thickness improved boundary sharpness and contrast between the necrotic area and enhanced tissue, with optimal visualization at 0.4 mm. (D-F) PCCT images in a 66-year-old man with a BMI of 24.2 who was diagnosed with adenocarcinoma, revealing a lesion with a long diameter of 52 mm in the right lower lobe. For lesions greater than 30 mm, a section thickness of 1 mm demonstrated better contrast and clarity at the boundary of the necrotic area compared with 0.4 mm. This observation supported the selection of an appropriate section thickness for accurate quantification of necrotic regions within the lesion.

PCCT has higher safety profile that EID-CT for lung imaging

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Structured reporting, AI improve chest x-ray workflows

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Exposure to macrocyclic GBCAs does not increase Parkinson's risk

Chatgpthead

LLM predicts CPT codes from interventional radiology notes

AI detects Alzheimer’s on brain perfusion SPECT scans

The model aims to enhance the consistency and confidence of SPECT interpretation supporting current workflows.

February 3, 2026

2026 01 30 Jalzdisease Ai Spect Models Detect Alzheimers Michopoulou Thumbnail

PCCT has higher safety profile that EID-CT for lung imaging

By Amerigo Allegretto

Photon-counting CT (PCCT) leads to fewer adverse outcomes than energy-integrating detector CT (EID-CT), researchers say.

February 3, 2026

Subgroup analysis based on lesion size on PCCT images. The red outlined areas highlight the magnified images of lesions. (A-C) PCCT images in a 62-year-old woman with a body mass index (BMI) of 23.6, calculated as weight in kilograms divided by height in meters squared, who was diagnosed with adenocarcinoma. A lesion with a long diameter of 25 mm was identified in the right lower lobe on axial images acquired during the venous phase. For lesions less than or equal to 30 mm, decreasing section thickness improved boundary sharpness and contrast between the necrotic area and enhanced tissue, with optimal visualization at 0.4 mm. (D-F) PCCT images in a 66-year-old man with a BMI of 24.2 who was diagnosed with adenocarcinoma, revealing a lesion with a long diameter of 52 mm in the right lower lobe. For lesions greater than 30 mm, a section thickness of 1 mm demonstrated better contrast and clarity at the boundary of the necrotic area compared with 0.4 mm. This observation supported the selection of an appropriate section thickness for accurate quantification of necrotic regions within the lesion.

Structured reporting, AI improve chest x-ray workflows

Structured reporting and AI tools have the potential to transform workflows.

February 3, 2026

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Exposure to macrocyclic GBCAs does not increase Parkinson's risk

By Kate Madden Yee

Linear GBCAs marginally increase the risk of parkinsonism in adults, but exposure to macrocyclic GBCAs doesn't appear to.

February 3, 2026

LLM predicts CPT codes from interventional radiology notes

A large language model (LLM) can be used to assign current procedural terminology (CPT) codes from interventional radiology reports.

February 2, 2026

Improving communication between RNs, radiologists boosts productivity

By Amerigo Allegretto

Communication strategies between registered nurses (RNs) and radiologists could reduce delays in imaging scheduling.

February 2, 2026

Rad And Nurse Xray Adobe Hockley M2peopleimagescom

Poll addresses ergonomics, workstation configurations for radiologists

Diagnostic imaging workstation configuration data may signal opportunities for improvement and standardization.

February 2, 2026

Ergonomics And Auntminnie

PSMA-PET predicts patient responses to Ac-225-based RPT

The finding is an important step for further development of new treatment for advanced metastatic prostate cancer.

January 30, 2026

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AI improves radiologists' performance for identifying lung cancer on CT

By Kate Madden Yee

The findings "support integrating AI into chest CT workflows to enhance early-stage lung cancer detection," researchers noted.

January 30, 2026

New Pitt institute to bring imaging insights from space to Earth

By Amerigo Allegretto

The University of Pittsburgh Health Sciences has launched the Trivedi Institute for Space and Global Biomedicine.

January 30, 2026

Medical leaders at the University of Pittsburgh discuss the launch of the Trivedi Institute for Space and Global Biomedicine. From left to right: Anantha Shekhar, MD, PhD, senior vice chancellor for the health sciences and John and Gertrude Petersen Dean, School of Medicine; Kate Rubins, PhD, founding director of the institute; Christopher Mason, PhD, visiting adjunct professor of surgery at Pitt; and Ashok Trivedi, a Pittsburgh-based entrepreneur, investor, and philanthropist who donated $25 million to the institute, which is named after him.

Women's Imaging MinnieCast, Episode 1 - Amy Patel and 'radvocacy'

By Amerigo Allegretto

Amy Patel, MD, discusses how radiologists can become involved in "radvocacy" and make a difference for the medical imaging field.

January 30, 2026

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AI-mammography finds more interval cancers, reduces workload

By Amerigo Allegretto

AI-supported mammography leads to more favorable outcomes for women over standard double reading.

January 29, 2026

Breast Mammo Computer

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